NOAA Temperature Data
Data for Charlottesville Region
Tolu Odukoya
7/6/2021
Data Source
Source: NOAA’s Climate Divisional Database (nClimDiv), June 2021 release
- Download URL: https://www.ncei.noaa.gov/pub/data/cirs/climdiv/counties.zip
- Download URL: https://www.ncei.noaa.gov/pub/data/cirs/climdiv/climdiv-tmaxcy-v1.0.0-20210604
The Data Used Here
The Climate Divisional Dataset from the National Center For Environmental Information began as the only long-term temporally and spatially complete dataset from which to generate historical climate analyses (1895-2013) for the contiguous United States (CONUS). It was originally developed for climate division, statewide, regional, national, and population-weighted monitoring of drought, temperature, precipitation, and heating/cooling degree day values.
There are 344 climate divisions in the CONUS. For each climate division, monthly station temperature and precipitation values are computed from the daily observations. The divisional values are weighted by area to compute statewide values and the statewide values are weighted by area to compute regional values. (Karl and Koss, 1984).
The data here is the county data from all the states in the contigous United States. While NOAA includes information on a variety of climate measures, we are focusing on the maximum, minimum temperature, and precipitation of the counties of interest.
To Learn More, See:
Variable Descriptions
glimpse(cville_sf1)## Rows: 756
## Columns: 49
## $ NAME <chr> "Greene", "Greene", "Greene", "Greene", "Greene", "Greene"…
## $ Year <dbl> 1895, 1896, 1897, 1898, 1899, 1900, 1901, 1902, 1903, 1904…
## $ CNTY_FIPS <chr> "079", "079", "079", "079", "079", "079", "079", "079", "0…
## $ X <dbl> -78.46742, -78.46742, -78.46742, -78.46742, -78.46742, -78…
## $ Y <dbl> 38.2973, 38.2973, 38.2973, 38.2973, 38.2973, 38.2973, 38.2…
## $ STATE_FIPS <chr> "51", "51", "51", "51", "51", "51", "51", "51", "51", "51"…
## $ FIPS <chr> "51079", "51079", "51079", "51079", "51079", "51079", "510…
## $ AREA <dbl> 157.0143, 157.0143, 157.0143, 157.0143, 157.0143, 157.0143…
## $ Janmin <dbl> 20.0, 22.9, 20.4, 28.0, 22.5, 24.1, 24.8, 21.1, 21.9, 18.4…
## $ Febmin <dbl> 12.7, 25.4, 26.7, 22.4, 16.4, 21.8, 19.2, 19.5, 25.7, 17.8…
## $ Marmin <dbl> 30.6, 27.0, 35.8, 38.0, 31.1, 27.8, 32.4, 32.9, 38.4, 31.4…
## $ Aprmin <dbl> 40.7, 44.5, 40.6, 37.9, 40.9, 41.8, 37.8, 39.3, 40.6, 37.0…
## $ Maymin <dbl> 49.0, 56.3, 48.2, 52.3, 52.2, 50.9, 50.7, 52.0, 50.1, 50.7…
## $ Junmin <dbl> 59.1, 59.2, 58.4, 58.4, 61.1, 61.1, 59.0, 56.4, 54.9, 58.0…
## $ Julmin <dbl> 59.6, 64.4, 63.0, 64.9, 62.3, 64.0, 66.1, 63.0, 62.2, 61.1…
## $ Augmin <dbl> 61.5, 61.4, 59.4, 64.3, 64.0, 65.4, 62.9, 59.0, 61.2, 60.6…
## $ Sepmin <dbl> 57.6, 53.7, 52.3, 56.1, 53.4, 60.8, 53.4, 52.1, 52.9, 54.7…
## $ Octmin <dbl> 35.9, 41.3, 44.8, 46.8, 44.8, 50.7, 41.9, 44.7, 44.3, 41.0…
## $ Novmin <dbl> 33.1, 38.6, 34.3, 33.1, 34.5, 37.8, 28.3, 39.5, 29.1, 31.1…
## $ Decmin <dbl> 25.8, 24.6, 28.7, 25.2, 23.9, 24.9, 22.1, 24.6, 19.4, 22.2…
## $ Avg_Tempmin <dbl> 40.46667, 43.27500, 42.71667, 43.95000, 42.25833, 44.25833…
## $ Janmax <dbl> 35.7, 39.5, 38.9, 43.2, 41.9, 42.7, 43.2, 39.1, 40.1, 36.4…
## $ Febmax <dbl> 32.2, 44.6, 44.3, 44.1, 34.5, 42.6, 38.9, 35.6, 47.1, 36.9…
## $ Marmax <dbl> 51.0, 47.6, 56.0, 57.4, 51.3, 49.3, 54.9, 55.1, 59.8, 53.9…
## $ Aprmax <dbl> 62.3, 66.4, 64.0, 58.6, 64.7, 64.0, 56.6, 61.6, 62.0, 59.3…
## $ Maymax <dbl> 70.8, 78.2, 71.6, 74.7, 73.7, 78.0, 71.3, 75.8, 74.8, 73.6…
## $ Junmax <dbl> 83.4, 78.4, 80.0, 83.3, 82.5, 80.1, 79.5, 80.1, 72.8, 78.8…
## $ Julmax <dbl> 79.4, 83.4, 84.5, 85.4, 87.3, 87.8, 85.7, 85.6, 83.9, 81.6…
## $ Augmax <dbl> 84.2, 83.4, 82.8, 81.7, 84.1, 89.9, 79.9, 80.6, 78.6, 79.9…
## $ Sepmax <dbl> 82.7, 76.0, 79.4, 78.0, 75.5, 83.4, 73.7, 74.7, 74.5, 76.7…
## $ Octmax <dbl> 62.8, 61.6, 66.7, 64.0, 66.7, 69.3, 66.5, 66.3, 65.3, 67.1…
## $ Novmax <dbl> 54.3, 60.5, 54.2, 50.7, 56.2, 56.8, 48.2, 59.5, 51.0, 52.7…
## $ Decmax <dbl> 44.0, 43.9, 44.7, 43.6, 43.8, 44.6, 41.9, 42.3, 38.8, 40.0…
## $ Avg_Tempmax <dbl> 61.90000, 63.62500, 63.92500, 63.72500, 63.51667, 65.70833…
## $ Janpcp <dbl> 5.93, 2.03, 2.01, 3.88, 3.66, 3.94, 2.77, 2.94, 4.77, 2.38…
## $ Febpcp <dbl> 1.37, 4.11, 6.88, 0.71, 5.09, 4.03, 0.57, 5.20, 4.10, 1.46…
## $ Marpcp <dbl> 2.72, 4.26, 2.70, 4.68, 5.02, 3.84, 3.27, 4.12, 4.56, 2.46…
## $ Aprpcp <dbl> 4.77, 1.52, 2.09, 3.38, 1.49, 2.52, 7.97, 2.55, 4.05, 2.81…
## $ Maypcp <dbl> 3.98, 2.98, 5.84, 6.52, 4.54, 2.39, 6.66, 3.27, 2.57, 3.47…
## $ Junpcp <dbl> 4.41, 6.27, 3.56, 3.33, 2.55, 6.95, 6.61, 4.20, 7.97, 6.63…
## $ Julpcp <dbl> 5.26, 5.91, 4.54, 6.05, 2.94, 3.85, 4.94, 3.06, 3.18, 5.25…
## $ Augpcp <dbl> 1.59, 1.86, 3.09, 7.06, 3.57, 1.58, 9.87, 3.16, 4.65, 2.63…
## $ Seppcp <dbl> 0.42, 8.54, 0.72, 2.93, 5.44, 3.37, 4.30, 4.55, 2.31, 2.16…
## $ Octpcp <dbl> 1.49, 0.26, 3.73, 8.68, 2.97, 3.11, 0.64, 6.33, 3.21, 1.01…
## $ Novpcp <dbl> 1.80, 4.74, 3.50, 2.36, 1.11, 3.14, 2.14, 4.38, 0.89, 1.11…
## $ Decpcp <dbl> 2.91, 0.05, 3.78, 4.53, 1.54, 2.91, 7.55, 4.26, 1.39, 2.88…
## $ Avg_Temppcp <dbl> 3.054167, 3.544167, 3.536667, 4.509167, 3.326667, 3.469167…
## $ Fipsyear <dbl> 44079011895, 44079011896, 44079011897, 44079011898, 440790…
## $ geometry <MULTIPOLYGON [°]> MULTIPOLYGON (((-78.36616 3..., MULTIPOLYGON …Observations are county level estimates of…
- Monthly maximum temperature for each county for years 1895-2021
- Yearly average maximum temperature for each county for those years.
- Monthly minimum temperature for each county for years 1895-2021
- Yearly average minimum temperature for each county for those years.
- Monthly precipitation for each county for years 1895-2021
- Yearly average precipitation for each county for those years.
Summaries
5-number summaries of (non-missing) numeric variables (remove non-numeric observations)
noaa %>% select(-c(CNTY_FIPS, Fipsyear, Year)) %>%
select(where(~is.numeric(.x) && !is.na(.x))) %>%
as.data.frame() %>%
stargazer(., type = "text", title = "Summary Statistics", digits = 0,
summary.stat = c("mean", "sd", "min", "median", "max"))##
## Summary Statistics
## ========================================
## Statistic Mean St. Dev. Min Median Max
## ----------------------------------------
## Janmin 24 4 11 24 37
## Febmin 25 4 13 26 35
## Marmin 33 4 20 33 43
## Aprmin 42 2 34 42 50
## Maymin 51 3 44 51.3 60
## Junmin 60 2 53 60 66
## Julmin 64 2 59 64 70
## Augmin 63 2 57 63 68
## Sepmin 56 3 49 56 65
## Octmin 44 3 35 44 54
## Novmin 34 3 27 34 44
## Decmin 27 4 14 27 41
## Avg_Tempmin 44 2 36 44 48
## Janmax 44 5 29 44 58
## Febmax 47 5 32 48 61
## Marmax 56 5 41 56 70
## Aprmax 67 3 56 67 75
## Maymax 76 3 67 75 83
## Junmax 83 3 73 83 89
## Julmax 86 3 79 86 93
## Augmax 84 3 75 84 94
## Sepmax 78 3 70 78 88
## Octmax 68 3 59 68 79
## Novmax 57 4 47 57 66
## Decmax 47 4 33 47 60
## Avg_Tempmax 66 2 58 66 71
## Janpcp 3 2 0 3 9
## Febpcp 3 1 0 3 8
## Marpcp 4 2 0 3 9
## Aprpcp 3 2 0 3 12
## Maypcp 4 2 0 4 11
## Junpcp 4 2 -10 4 13
## Julpcp 4 2 -10 4 11
## Augpcp 4 3 -10 4 14
## Seppcp 4 3 -10 3 16
## Octpcp 3 3 -10 3 13
## Novpcp 3 2 -10 3 13
## Decpcp 3 2 -10 3 8
## Avg_Temppcp 4 1 -5 4 6
## ----------------------------------------Maps
Maximum Temperature
Maximum Temperature in July across Counties for all Years
cville_sf1a <-
ggplot(cville_sf1) +
geom_sf(aes(fill = Julmax), color = "black", alpha = .9, na.rm = TRUE) +
geom_text_repel(data = cville_sf1, aes(X, Y, label = NAME), size = 4, nudge_x = 1, nudge_y = 0, fontface = "bold", hjust = 0.9) +
scale_fill_fermenter(palette = "YlOrRd", direction = 1, type = "seq", n.breaks = 7) +
theme_void() +
guides(fill =
guide_colourbar(title.position="top", title.hjust = 0.5,
barwidth = 1)
) +
labs(fill = "Temperature ", title = 'Year: {frame_time}',
caption = "Maximum Temperature in July for Charlottesville Counties") +
transition_time(as.integer(Year)) +
ease_aes('linear') animate(cville_sf1a, fps = 1, detail = 1, nframes = 127)
meta %>%
filter(varname == "Julmax") %>%
select(about) %>%
as.list()$about [1] “Monthly Divisional Temperature format (f7.2) Range of values -50.00 to 140.00 degrees Fahrenheit. Decimals retain a position in the 7-character field. Missing values in the latest year are indicated by -99.99. Missing values removed for visualization, resulting in no plots for 2021”
Warming Stripes Showing Maximum Temperature in July for Each County for all Years
#select only the july temperature and year column
cville_sf1_jl <- select(cville_sf1, NAME, Year, Julmax)
#rename the temperature column
cville_sf1_jl <- rename(cville_sf1_jl, ta = Julmax)#create a date column because stripes only works with format = date
cville_sf1_jl <- mutate(cville_sf1_jl, date = str_c(Year, "01-01", sep = "-") %>% ymd())# Filter out each County
cville_sf1_jlg <- filter(cville_sf1_jl, NAME == "Greene")
cville_sf1_jla <- filter(cville_sf1_jl, NAME == "Albemarle")
cville_sf1_jlc <- filter(cville_sf1_jl, NAME == "Charlottesville")
cville_sf1_jlf <- filter(cville_sf1_jl, NAME == "Fluvanna")
cville_sf1_jll <- filter(cville_sf1_jl, NAME == "Louisa")
cville_sf1_jln <- filter(cville_sf1_jl, NAME == "Nelson")#Create the theme for the stripes image
theme_strip <- theme_minimal()+
theme(axis.text.y = element_blank(),
axis.line.y = element_blank(),
axis.title = element_blank(),
panel.grid.major = element_blank(),
legend.title = element_blank(),
axis.text.x = element_text(vjust = 3),
panel.grid.minor = element_blank(),
plot.title = element_text(size = 14, face = "bold")
)
col_strip <- brewer.pal(11, "RdBu")Greene County Warming Stripes: July Maximum Temperature
ggplot(cville_sf1_jlg,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Greene County July Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Louisa County Warming Stripes: July Maximum Temperature
ggplot(cville_sf1_jll,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Louisa County July Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Nelson County Warming Stripes: July Maximum Temperature
ggplot(cville_sf1_jln,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Nelson County July Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Albemarle County Warming Stripes: July Maximum Temperature
ggplot(cville_sf1_jla,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Albemarle County July Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Charlottesville County Warming Stripes: July Maximum Temperature
ggplot(cville_sf1_jlc,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Charlottesville County July Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Fluvanna County Warming Stripes: July Maximum Temperature
ggplot(cville_sf1_jlf,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Fluvanna County July Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Average Yearly Maximum Temperature across Counties
cville_sf1b <-
ggplot(cville_sf1) +
geom_sf(aes(fill = Avg_Tempmax), color = "black", alpha = .9, na.rm = TRUE) +
geom_text_repel(data = cville_sf1, aes(X, Y, label = NAME), size = 4, nudge_x = 1, nudge_y = 0, fontface = "bold", hjust = 0.9) +
scale_fill_fermenter(palette = "BuPu", direction = 1, type = "seq", n.breaks = 6) +
theme_void() +
guides(fill =
guide_colourbar(title.position="top", title.hjust = 0.5,
barwidth = 1)
) +
labs(fill = "Temperature ", title = 'Year: {frame_time}',
caption = "Average Yearly Maximum
Temperature For Charlottesville Counties") +
transition_time(as.integer(Year)) +
ease_aes('linear') animate(cville_sf1b, fps = 1, detail = 1, nframes = 127)
meta %>%
filter(varname == "Avg_Tempmax") %>%
select(about) %>%
as.list()$about [1] “Average yearly maximum temperature for each county. Created by suming the maximum temperature for each month, for each county, and taking the mean. NA’s for months in 2021 not currently available were removed and the mean calculated for the 6 months so far. Missing values removed for visualization, resulting in no plots for 2021”
Warming Stripes Showing Average Yearly Temperature for Each County
#select only the annual temperature and year column
cville_sf1_yr <- select(cville_sf1, NAME, Year, Avg_Tempmax)
#rename the temperature column
cville_sf1_yr <- rename(cville_sf1_yr, ta = Avg_Tempmax)#create a date column because stripes only works with format = date
cville_sf1_yr <- mutate(cville_sf1_yr, date = str_c(Year, "01-01", sep = "-") %>% ymd())#Filter out each County. No need to do theme again it's already set
cville_sf1_yrg <- filter(cville_sf1_yr, NAME == "Greene")
cville_sf1_yra <- filter(cville_sf1_yr, NAME == "Albemarle")
cville_sf1_yrc <- filter(cville_sf1_yr, NAME == "Charlottesville")
cville_sf1_yrf <- filter(cville_sf1_yr, NAME == "Fluvanna")
cville_sf1_yrl <- filter(cville_sf1_yr, NAME == "Louisa")
cville_sf1_yrn <- filter(cville_sf1_yr, NAME == "Nelson")Greene County Warming Stripes: Average Yearly Maximum Temperature
ggplot(cville_sf1_yrg,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Greene County Average Yearly Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Louisa County Warming Stripes: Average Yearly Maximum Temperature
ggplot(cville_sf1_yrl,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Louisa County Average Yearly Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Nelson County Warming Stripes: Average Yearly Maximum Temperature
ggplot(cville_sf1_yrn,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Nelson County Average Yearly Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Albemarle County Warming Stripes: Average Yearly Maximum Temperature
ggplot(cville_sf1_yra,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Albemarle County Average Yearly Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Charlottesville County Warming Stripes: Average Yearly Maximum Temperature
ggplot(cville_sf1_yrc,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Charlottesville County Average Yearly Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Fluvanna County Warming Stripes: Average Yearly Maximum Temperature
ggplot(cville_sf1_yrf,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Fluvanna County Average Yearly Maximum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Minimum Temperature
Minimum Temperature in July across Counties for all Years
cville_sf2a <-
ggplot(cville_sf1) +
geom_sf(aes(fill = Julmin), color = "black", alpha = .9, na.rm = TRUE) +
geom_text_repel(data = cville_sf1, aes(X, Y, label = NAME), size = 4, nudge_x = 1, nudge_y = 0, fontface = "bold", hjust = 0.9) +
scale_fill_fermenter(palette = "YlGnBu", direction = 1, type = "seq", n.breaks = 7) +
theme_void() +
guides(fill =
guide_colourbar(title.position="top", title.hjust = 0.5,
barwidth = 1)
) +
labs(fill = "Temperature ", title = 'Year: {frame_time}',
caption = "Minimum Temperature in July for Charlottesville Counties") +
transition_time(as.integer(Year)) +
ease_aes('linear') animate(cville_sf2a, fps = 1, detail = 1, nframes = 127)
meta %>%
filter(varname == "Julmin") %>%
select(about) %>%
as.list()$about [1] “Monthly Divisional Temperature format (f7.2) Range of values -50.00 to 140.00 degrees Fahrenheit. Decimals retain a position in the 7-character field. Missing values in the latest year are indicated by -99.99. Missing values removed for visualization, resulting in no plots for 2021”
Warming Stripes Showing Minimum Temperature in July for Each County for all Years
Greene County Warming Stripes: July Minimum Temperature
ggplot(cville_sf2_jlg,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Greene County July Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Louisa County Warming Stripes: July Minimum Temperature
ggplot(cville_sf2_jll,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Louisa County July Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Nelson County Warming Stripes: July Minimum Temperature
ggplot(cville_sf2_jln,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Nelson County July Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Albemarle County Warming Stripes: July Minimum Temperature
ggplot(cville_sf2_jla,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Albemarle County July Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Charlottesville County Warming Stripes: July Minimum Temperature
ggplot(cville_sf2_jlc,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Charlottesville County July Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Fluvanna County Warming Stripes: July Minimum Temperature
ggplot(cville_sf2_jlf,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Fluvanna County July Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Average Yearly Minimum Temperature across Counties
cville_sf2b <-
ggplot(cville_sf1) +
geom_sf(aes(fill = Avg_Tempmin), color = "black", alpha = .9, na.rm = TRUE) +
geom_text_repel(data = cville_sf1, aes(X, Y, label = NAME), size = 4, nudge_x = 1, nudge_y = 0, fontface = "bold", hjust = 0.9) +
scale_fill_fermenter(palette = "PuRd", direction = 1, type = "seq", n.breaks = 6) +
theme_void() +
guides(fill =
guide_colourbar(title.position="top", title.hjust = 0.5,
barwidth = 1)
) +
labs(fill = "Temperature ", title = 'Year: {frame_time}',
caption = "Average Yearly Minimum
Temperature For Charlottesville Counties") +
transition_time(as.integer(Year)) +
ease_aes('linear') animate(cville_sf2b, fps = 1, detail = 1, nframes = 127)
meta %>%
filter(varname == "Avg_Tempmin") %>%
select(about) %>%
as.list()$about [1] “Average yearly minimum temperature for each county. Created by suming the minimum temperature for each month, for each county, and taking the mean. NA’s for months in 2021 not currently available were removed and the mean calculated for the 6 months so far. Missing values removed for visualization, resulting in no plots for 2021”
Warming Stripes Showing Average Yearly Temperature for Each County
Greene County Warming Stripes: Average Yearly Minimum Temperature
ggplot(cville_sf2_yrg,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Greene County Average Yearly Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Louisa County Warming Stripes: Average Yearly Minimum Temperature
ggplot(cville_sf2_yrl,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Louisa County Average Yearly Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Nelson County Warming Stripes: Average Yearly Minimum Temperature
ggplot(cville_sf2_yrn,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Nelson County Average Yearly Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Albemarle County Warming Stripes: Average Yearly Minimum Temperature
ggplot(cville_sf2_yra,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Albemarle County Average Yearly Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Charlottesville County Warming Stripes: Average Yearly Minimum Temperature
ggplot(cville_sf2_yrc,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Charlottesville County Average Yearly Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Fluvanna County Warming Stripes: Average Yearly Minimum Temperature
ggplot(cville_sf2_yrf,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Fluvanna County Average Yearly Minimum Temperature 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Precipitation
Precipitation in July across Counties for all Years
cville_sf3a <-
ggplot(cville_sf1) +
geom_sf(aes(fill = Julpcp), color = "black", alpha = .9, na.rm = TRUE) +
geom_text_repel(data = cville_sf1, aes(X, Y, label = NAME), size = 4, nudge_x = 1, nudge_y = 0, fontface = "bold", hjust = 0.9) +
scale_fill_fermenter(palette = "PuBuGn", direction = 1, type = "seq", n.breaks = 7) +
theme_void() +
guides(fill =
guide_colourbar(title.position="top", title.hjust = 0.5,
barwidth = 1)
) +
labs(fill = "Precipitation", title = 'Year: {frame_time}',
caption = "Precipitation in July for Charlottesville Counties") +
transition_time(as.integer(Year)) +
ease_aes('linear') animate(cville_sf3a, fps = 1, detail = 1, nframes = 127)
meta %>%
filter(varname == "Julpcp") %>%
select(about) %>%
as.list()$about [1] “Monthly Divisional Temperature format (f7.2) Range of values -50.00 to 140.00 degrees Fahrenheit. Decimals retain a position in the 7-character field. Missing values in the latest year are indicated by -99.99. Missing values removed for visualization, resulting in no plots for 2021”
Warming Stripes Showing Precipitation in July for Each County for all Years
Greene County Warming Stripes: July Precipitation
ggplot(cville_sf3_jlg,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Greene County July Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Louisa County Warming Stripes: July Precipitation
ggplot(cville_sf3_jll,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Louisa County July Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Nelson County Warming Stripes: July Precipitation
ggplot(cville_sf3_jln,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Nelson County July Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Albemarle County Warming Stripes: July Precipitation
ggplot(cville_sf3_jla,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Albemarle County July Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Charlottesville County Warming Stripes: July Precipitation
ggplot(cville_sf3_jlc,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Charlottesville County Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Fluvanna County Warming Stripes: July Precipitation
ggplot(cville_sf3_jlf,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Fluvanna County July Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Average Yearly Precipitation across Counties
cville_sf3b <-
ggplot(cville_sf1) +
geom_sf(aes(fill = Avg_Temppcp), color = "black", alpha = .9, na.rm = TRUE) +
geom_text_repel(data = cville_sf1, aes(X, Y, label = NAME), size = 4, nudge_x = 1, nudge_y = 0, fontface = "bold", hjust = 0.9) +
scale_fill_fermenter(palette = "RdPu", direction = 1, type = "seq", n.breaks = 6) +
theme_void() +
guides(fill =
guide_colourbar(title.position="top", title.hjust = 0.5,
barwidth = 1)
) +
labs(fill = "Precipitation", title = 'Year: {frame_time}',
caption = "Average Yearly Precipitation For Charlottesville Counties") +
transition_time(as.integer(Year)) +
ease_aes('linear') animate(cville_sf3b, fps = 1, detail = 1, nframes = 127)
meta %>%
filter(varname == "Avg_Temppcp") %>%
select(about) %>%
as.list()$about [1] “Average yearly precipitation for each county. Created by suming the precipitation for each month, for each county, and taking the mean. NA’s for months in 2021 not currently available were removed and the mean calculated for the 6 months so far. Missing values removed for visualization, resulting in no plots for 2021”
Warming Stripes Showing Average Yearly Precipitation for Each County
Greene County Warming Stripes: Average Yearly Precipitation
ggplot(cville_sf3_yrg,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Greene County Average Yearly Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Louisa County Warming Stripes: Average Yearly Precipitation
ggplot(cville_sf3_yrl,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Louisa County Average Yearly Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Nelson County Warming Stripes: Average Yearly Precipitation
ggplot(cville_sf3_yrn,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Nelson County Average Yearly Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Albemarle County Warming Stripes: Average Yearly Precipitation
ggplot(cville_sf3_yra,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Albemarle County Average Yearly Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Charlottesville County Warming Stripes: Average Yearly Precipitation
ggplot(cville_sf3_yrc,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Charlottesville County Average Yearly Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip
Fluvanna County Warming Stripes: Average Yearly Precipitation
ggplot(cville_sf3_yrf,
aes(x = date, y = 1, fill = ta))+
geom_tile()+
scale_x_date(date_breaks = "6 years",
date_labels = "%Y",
expand = c(0, 0))+
scale_y_continuous(expand = c(0, 0))+
scale_fill_gradientn(colors = rev(col_strip))+
guides(fill = guide_colorbar(barwidth = 1))+
labs(title = "Fluvanna County Average Yearly Precipitation 1895-2020",
caption = "Data: NOAA Surface Temperature Analysis")+
theme_strip